Psychiatry

Bipolar Disorder

Latest AI and machine learning research in bipolar disorder for healthcare professionals.

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[3D printed portable gel electrophoresis device for rapid detection of proteins].

The growing demand for rapid, portable, and economical detection methods for environmental analysis ...

Large-Scale Structural Covariance Networks Predict Age in Middle-to-Late Adulthood: A Novel Brain Aging Biomarker.

The aging process is accompanied by changes in the brain's cortex at many levels. There is growing i...

A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination.

Quantitative analysis of neuronal morphologies usually begins with choosing a particular feature rep...

[Simultaneous determination of twelve antiepileptic drugs in serum by ultra high performance liquid chromatography-tandem mass spectrometry].

A sensitive, high-throughput method was established for the simultaneous determination of 12 antiepi...

Predicting Early Stage Drug Induced Parkinsonism using Unsupervised and Supervised Machine Learning.

Drug Induced Parkinsonism (DIP) is the most common, debilitating movement disorder induced by antips...

Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions.

Mobile mental health interventions have the potential to reduce barriers and increase engagement in ...

Depression screening using mobile phone usage metadata: a machine learning approach.

OBJECTIVE: Depression is currently the second most significant contributor to non-fatal disease burd...

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. ...

Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.

BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ ...

Convolutional Neural Network Visualization for Identification of Risk Genes in Bipolar Disorder.

BACKGROUND: Bipolar disorder (BD) is a type of chronic emotional disorder with a complex genetic str...

Changes in Functional Connectivity Predict Outcome of Repetitive Transcranial Magnetic Stimulation Treatment of Major Depressive Disorder.

Repetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD) is ...

Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis.

The current study utilized a random forest regression analysis to predict post-experiment fatigue in...

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

A less-invasive method for the diagnosis of the major depressive disorder can be useful for both the...

Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.

BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar dis...

Internet-Based Management for Depressive Disorder.

The advances in the Internet and related technologies may lead to changes in professional roles of p...

Understanding Mood Disorders in Children.

Mood disorders include all types of depression and bipolar disorder, and mood disorders are sometime...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia f...

Depression Severity Classification from Speech Emotion.

Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depressio...

Anatomical Biomarkers for Adolescent Major Depressive Disorder from Diffusion Weighted Imaging using SVM Classifier.

Adolescent Major Depressive Disorder (MDD) is a common and serious mental illness that could lead to...

Classifying Treated vs. Untreated MDD Adolescents from Anatomical Connectivity using Nonlinear SVM.

Identification of the treatment-related responders for adolescent Major Depressive Disorder (MDD) is...

A New Local Bipolar Autoassociative Memory Based on External Inputs of Discrete Recurrent Neural Networks With Time Delay.

In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neu...

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